A large language model generates text using probability distributions; if the temperature parameter rises drastically, which outcome is most likely?

💡 Explanation

A higher temperature increases the entropy of the output distribution; because each token has a more equal probability, the model will sample tokens more randomly, therefore the output becomes more diverse rather than converging toward a single, high-probability response.

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